AI Decision Review · 1–2 weeks · Fixed scope

A clear position before the AI decision becomes expensive to reverse.

For leaders who need to approve, purchase, move a pilot into production, or scale an AI initiative—and need the reasoning to hold up with risk, legal, security, procurement, auditors, and the board.

When to use it

Use the review at a consequential decision point.

Approval

Leadership needs an independent recommendation before committing.

Purchase

A vendor or platform choice needs to be tested against the operating context.

Pilot → production

The pilot worked, but ownership, controls, integration, and evidence are not settled.

Scale

A local success is becoming an enterprise dependency with broader exposure.

Also useful when architecture, risk, legal, security, procurement, and delivery do not agree on the conditions for proceeding.

Scope

One initiative. One decision. The evidence behind it.

The review is composed around the decision in front of you, not a generic maturity model.

Decision and outcome

The business outcome, affected users, decision owner, options, constraints, and success measures.

Architecture and data

System boundaries, integrations, data flows, access, model and vendor dependencies, resilience, and exit paths.

Risk and accountability

Material harms, security and privacy exposure, human authority, escalation, exceptions, and ownership.

Validation and operations

Testing, release evidence, monitoring, incident response, reassessment triggers, and operational capacity.

What you receive

A decision your teams can act on.

Decision position

Proceed, proceed with conditions, redirect, or defer—with the rationale stated plainly.

Executive decision record

The decision, options considered, material assumptions, accountable owners, and evidence still required.

Prioritized findings

Material issues ranked by decision impact, not a long undifferentiated checklist.

Conditions and sequence

What must be true before commitment, production, or scale, with owners and next steps.

Process

Focused enough to move quickly. Structured enough to be defensible.

  1. 01

    Frame

    Confirm the decision, decision owner, options, constraints, and evidence threshold.

  2. 02

    Map

    Review the relevant architecture, data, controls, obligations, assumptions, and stakeholder positions.

  3. 03

    Test

    Challenge the proposal, identify material gaps, and establish the conditions for each viable path.

  4. 04

    Decide

    Deliver the written position and lead an executive readout with accountable owners.

Who participates

A decision owner and a small working group from the functions that materially shape the decision—typically architecture or engineering, risk or legal, security or privacy, procurement, and operations. Participation is tailored to the case.

Commercial model

Fixed scope and fixed price after a short fit conversation.

Pricing reflects the complexity of the initiative, the evidence already available, the number of systems or vendors in scope, and the stakeholders required. The proposal states the deliverables, timetable, client participation, assumptions, and exclusions before commitment.

Start here

Describe the decision you need to make.

A short description is enough for the first step. You will receive a candid response on fit and the smallest useful next action.

Do not include confidential, personal, or security-sensitive information. See the privacy policy.

Prefer a conversation? Book 20 minutes →

AI Decision Review enquiry